GHX is a software-as-a-service company that’s reducing the cost of doing business in healthcare by automating supply chain processes and improving visibility into the products used in patient care. We’ve built the GHX Global Network, the world’s largest community of healthcare trading partners, connecting supply chain, finance and clinical professionals with their suppliers. Our cloud-based technology makes it easier for customers to drive costs out of the healthcare supply chain. Since 2010, we’ve saved the healthcare industry $5+ billion. Today we’re expanding our solutions to further enhance data management and allow integration of clinical and business systems.

The Industry We Serve

Our focus is on the healthcare supply chain, through which hospitals and their suppliers buy and deliver the thousands of medical-surgical supplies that clinicians need to effectively care for patients. For most hospitals, supply chain costs are the second largest and fastest growing operational expense, so reining in these costs is imperative.

Our Products and Services

At the heart of GHX is the GHX Exchange, a platform that connects healthcare providers and suppliers so they can work together electronically. This helps lower costs and simplifies supply chain management by eliminating error-prone, manual order processes.

GHX solutions include:

An open and neutral electronic trading exchange

Procurement and accounts payable automation

Content, contract and inventory management

Business intelligence and reporting

Standards enablement and data synchronization

As a Data Analyst III, you will work o n some of our most impactful data problems alongside other analysts and ETL engineers. This role works to improve and scale our data analysis and processing capabilities. You will thrive if you love exploring datasets, identifying and implementing performance improvements, finding ways to automate existing workflows, and collaborating cross-functionally to solve challenging problems in healthcare.

Duties and Responsibilities:

• Contribute towards VA&SS’s data processing capabilities with the goal of becoming a subject matter expert (SME) in the domain of healthcare supply chain data.
• Continually evaluate processes to create new efficiencies in data cleansing activities and analysis; and identify areas of automation.
• Work collaboratively with engineers and cross functional peers to ensure new data feeds meet data quality requirements.
• Take initiative in your own work, troubleshoot issues, and look for opportunities to gain insights on data quality and usability.
• Work closely with client-facing teams and clinical research teams to validate insights gathered from customer data sets.
• Work with business and technical staff to distill technical requirements from business requests, applying agile principles to iterate quickly and obtain feedback.
• Write flexible, reusable, and efficient code utilizing best practices such as maintaining documentation and using version control.

Qualifications:

• 3+ years of professional work experience doing data analysis, data engineering, statistical analysis or similar.
• Bachelor’s or Master's degree in Mathematics, Statistics, Engineering, Economics or similar is preferred.

Knowledge, Skills, And Abilities

• Experience with database programming and/or other data analytics methods such as statistics, visualization, ML, etc.
• Experience working with large data sets. High degree of competence and comfort using MS Excel and SQL.
• Familiarity with tools such as Sisense(Periscope), DataGrip, DataDog, Gitlab, etc. is a plus.
• Operate as an empathetic te=am player, contributing to team objectives, displaying trust and mutual understanding, accepting feedback, and handling disagreement constructively.
• Articulate technical concepts, designs, and data issues to cross-functional teams who have varying levels of technical experience.
• Ability to learn rapidly and adapt quickly to changing situations.
• Detail-oriented and thorough.
• A demonstrated track record of accomplishing goals, meeting deadlines, and holding yourself and others to a high standard.
• Excellent written and oral communication skills with a proven ability to present solutions with both technical and non-technical arguments.
• Familiarity with data science tools, like python or R, is a plus.
• Familiarity with healthcare data rules and standards (such as HIPAA) from working with health or healthcare data (healthcare supplies procurement, purchasing, logistics, or data from EHR/EMR systems like Epic or Cerner) is a plus.